Novel techniques for automated seizure registration: Patients' wants and needs
Abstract
Objectives Patient-reported seizure frequency is essential for therapy management and clinical research but lacks validity mainly due to seizure-induced seizure unawareness. Automated seizure detection by mobile monitoring devices promises to settle this serious methodological issue. Here, we explored attitudes and preferences towards future devices for seizure detection in adult patients with therapy-refractory epilepsies.Methods A total of 102 inpatients enrolled and underwent a newly constructed semistructured 30-minute interview on automated seizure registration.Results Most patients would generally apply and permanently use seizure registration devices. Removable devices were preferred (e.g., wristband sensors), but also patch electrodes at invisible body sites appeared acceptable. Only a minority of patients would accept implantations for seizure registration (especially of depth electrodes). Also, permanent optical or acoustical surveillance were accepted by a few patients only. Most patients were ready to care for the device (e.g., charging battery), to have doctor's appointments for device control, and even to pay for the device. Seizure prediction was evaluated as an essential additional function. Only half of the patients wanted emergency calls in case of a seizure.Significance Patients would accept automated seizure registration if the device had as little as possible negative effect on daily living. High acceptance might, therefore, be expected for hardware equipment as it is nowadays used by many healthy subjects for physiological self-monitoring and life-logging. The proper medical engineering task of the future, therefore, is to optimize sensors in those highly feasible devices and to establish reliable biomarkers and outcome measures for a diversity of diseases (including epilepsy) from data obtained by this generic hardware.
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65% of persons with epilepsy would want to use a seizure registration device permanently.
“Persons with epilepsy reported that they would agree to use a seizure registration device, and 65% would want to use it permanently [67].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Persons with epilepsy reported that they would agree to use a seizure registration device.
“Persons with epilepsy reported that they would agree to use a seizure registration device, and 65% would want to use it permanently [67].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Individuals with epilepsy, Parkinson's disease, and stroke reported a wide spectrum of expectations in terms of usability of wearables.
“Individuals with epilepsy, PD, and stroke reported a wide spectrum of expectations in terms of usability of wearables [65–69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Both epilepsy and Parkinson's disease participants described getting reminders to take drugs as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Persons with epilepsy wanted features that would allow improved diagnosis and seizure management.
“Persons with epilepsy wanted features that would allow improved diagnosis and seizure management [67].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Both epilepsy and Parkinson's disease participants described waterproof design as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
Both epilepsy and Parkinson's disease participants described the possibility of real-time analysis of data as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [67]
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- Authors
- Hoppe, C., Feldmann, M., Blachut, B., Surges, R., Elger, C. E., & Helmstaedter, C.
- Affiliations
- University of Bonn (DE)
- Corresponding author
- Hoppe, Christian
- Venue
- Epilepsy & Behavior
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 52
- Issue
- Pt A
- Pages
- 1-7
- ISSN
- 1525-5050 (ISSN-L)
- OpenAlex
- W2107153032
- Cited by
- 116
- References
- 13
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 11 · 2023: 8 · 2022: 9 · 2021: 18 · 2020: 19 · 2019: 9 · 2018: 13 · 2017: 5 · 2016: 7
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Epilepsy & Behavior (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
- Keywords
- automated seizure detection, patient acceptance, wearable sensors, wrist-worn sensors, patch electrodes, mobile health monitoring, seizure prediction, patient preferences, lifelogging
- MeSH terms
- Drug Resistant Epilepsy, Adult, Age Factors, Aged, Electrodes, Emergency Medical Services, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Patient Acceptance of Health Care, Predictive Value of Tests, Prospective Studies, Surveys and Questionnaires, Seizures, Sex Factors, Patient Satisfaction, Monitoring, Ambulatory, Young Adult
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